Data and Code For: Perceptions of Gender Diversity in Occupations

Principal Investigator(s): View help for Principal Investigator(s) Jeffrey Flory, Claremont McKenna College; Andreas Leibbrandt, Monash University; Olga Shurchkov, Wellesley College; Olga Stoddard, Brigham Young University; Alva Taylor, Dartmouth University

Version: View help for Version V1

Name	File Type	Size	Last Modified
FLSST Data Repository 188821			04/13/2023 08:23:AM

Project Citation:

Flory, Jeffrey, Leibbrandt, Andreas, Shurchkov, Olga, Stoddard, Olga, and Taylor, Alva. Data and Code For: Perceptions of Gender Diversity in Occupations. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-04-27. https://doi.org/10.3886/E188821V1

Project Description

Summary: We design a survey experiment to investigate the effect of intervention with diversity on preferences for diverse outcomes. First, subjects report their perceptions of archetypical occupations boss, professor, nurse, and clerk, rating boss/professor as higher status than nurse/clerk. Importantly, while respondents expect overrepresentation of women among nurses and clerks, they expect a relatively equal gender distribution among bosses and professors. We then randomize participants to view either diverse or non-diverse images for each occupation. Diversifying the image sets significantly increases the likelihood of underrepresented individuals being selected in both domains, but correctness of preexisting beliefs only matters in female-typed domains.

Scope of Project

JEL Classification:
      C91 Design of Experiments: Laboratory, Individual
      D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
      J71 Labor Discrimination

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Published Versions

V1 [2023-04-27]

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